automotive

Designing the laser heat treatment for the deep drawing of Al alloys by means of an optimization loop

In this study, the effectiveness of heat treatment before the stamping process was numerically investigated for the deep drawing of an Al-Mg alloy, coupling a 2D FE model with the optimization platform modeFRONTIER. This work investigates the effectiveness of this new approach to optimize the localized heat treatment of the flange zone. The maximum Limit Drawing Ratio implementing the heat treated blank was predicted.

Integrating Multi-Disciplinary Optimization into the Product Development Process

CHALLENGE  In the automobile industry, there is a constant need for cost-effective solutions that meet all business and customer requirements. A CAE portfolio of a modern company contains a multitude of different applications to be used for design, analysis and verification of components as well as of entire systems. CAE tools are improving at an ever increasing rate, yet the challenge lies in efficient management of CAE processes to ensure traceability.

Study to Develop Optimum Shape for Compressor Entrance Guide Vane

An inlet guide vane is designed for an Ecotorq EU6 engine in this study at Ford Otosan, Turkey. The optimization of this component is performed with a workflow built by modeFRONTIER software with focus on two main output parameters for the study, swirl ratio and pressure drop. The workflow incorporates CATIA, StarCCM+ and combines two operating systems (Windows and Linux).

Multi-objective optimization of a V6 3.0L diesel engine for automotive applications, using GT-SUITE and modeFRONTIER

In this project, GT-SUITE and modeFRONTIER are coupled to investigate several engine design parameters on engine performance using a  V6 3.0L diesel engine as an example​. With eight engine configurations, time to torque is one of the objectives selected for this optimization process.

Aero Optimization of Volvo S60 WTCC Race Car

The Volvo S60 is the racing car used by Cyan racing in the World Touring Car Championships. Optimization software modeFRONTIER was chosen for the aero optimization process of the vehicle, due to the complexity of the format of the championship, limited time and limited prior experience. 

Optimization of Active Grille Shutters Operation for Increased Fuel Economy

This presentations shows the optimization of active grill shutters in order to improve fuel economy and reduce drag penalty of a motor vehicle. The integration of softwares modeFRONTIER and Exa PowerFLOW facilitate the optimization process bringing valid results for the design of a more fuel-efficient vehicle.

Multi-objective robust optimization of the closing functionality of a trunk lid

A demonstration of the optimization of a car trunk lid closing functionality is presented in this work from the Body and Closures Department at Volvo Cars. The lid should be easy to close yet not damage the car even if it is slammed shut by full force.The approach uses a workflow designed in modeFRONTIER to shorten development time and find the solution these contradicting demands. 

Is MDO the enabler to the Technology that is driving the Change

A new approach in multidisciplinary optimization is developed at Jaguar Land Rover, one that drives collaboration among all team members. In an example, a vehicle bonnet is designed using new MDO methods. Genetic algorithms in modeFRONTIER are used to find an optimal solution.

Method development for early architectural optimization of a wheel suspension system

A two-phase optimization approach is developed for the optimization of a rear wheel suspension system with the goal of reducing NVH, and improving ride and handling. The softwares modeFRONTIER and MotionSolve are coupled to find the optimal results in order to meet requirements for lowest cost and weight.

Tolerance Management 3.0- Optimizing the Physics

EnginSoft, in collaboration with TTC3 Gmbh implements Tolerance management 3.0 in its engineering methodology. A multidisciplinary approach using modeFRONTIER is necessary to reach optimal results when complexity and conflicting targets are present. This will drive quality in the product line long-term.

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